home - Hamad Abosaq
د. حمد علي محمد أبوساق
دكتوراه في علوم الحاسب - الذكاء الإصطناعي التطبيقي
استاذ مساعد
قسم علوم الحاسب
كلية علوم الحاسب ونظم المعلومات
Research insterests | Natural Language Processing (NLP), Grammar Analysis, Data Science, AI, and ML

المؤهلات العلمية
Doctor of Philosophy in Computer Science from University of Idaho (2021)
Master of Science in Computer Science from DePaul University (2014)
Bachelor of Science in Computer Science from Florida Institute of Technology (2011)
الخبرات
Head of Cooperative Training Unit
Computer Science and Information Systems College
March 2022 - Present
Najran University
Assistance Professor
March 2022 - Present
Najran University
University Lecturer
June 2014 - March 2022
University of Idaho
Research Assistant
August 2018 - December 2021
Najran University
Teaching Assistant
January 2012 - January 2013
Florida Institute of Technology
Tutor
January 2009 - July 2011
Helping new students in Computer Science courses programming, designing,discrete Math, etc
التخصصات والمهارات
Graphical User Interface in JAVA, C++, C# and Python
Apply Requirements Engineering in software projects
Computer Vision in C
Teaching and helping
Artificial Intelligence
Organizing the project tasks
Project management
Software design methods
Network and Information Security Consultations
Network management
Risk Assessment and Network Security
Ethical Hacking
Network Penetration Testing
Business Continuity and Disaster Recovery
الدورات التدربية
Development and quality Siminar
Research develoment and convert it to a commericial product
The future of AI Siminar and workshop
الأبحاث العلمية
اPuplished research papers
Published Papers in Journal
Latif, S., Bin Ilyas, M. S., Imran, A., Abosaq, Hamad Ali, Alzubaidi, A., & Karovi?c Jr, V. (2024). Machine Learning Empowered Security and Privacy Architecture for IoT Networks with the Integration of Blockchain. Intelligent Automation & Soft Computing 39(2). https://doi.org/10.32604/iasc.2024.047080
Nilashi, M., Abumalloh, R. A., Ahmadi, H., Alrizq, M., Abosaq, Hamad Ali, Alghamdi, A., & Mahmood10, S. S. (2024), ”Using DEMATEL, clustering, and fuzzy logic for supply chain evaluation of electric vehicles: A SCOR model. AIMS Environmental Science”, 11(2), 129-156. https://doi.org/10.3934/environsci.2024008
Rahman, S., Shaf, A., Ali, T., Abosaq, Hamad Ali, Zafar, M., Irfan, M., & Attar, H. M. (2024), ”An Optimal Delay Tolerant and Improved Data Collection
Schema Using AUVs for Underwater Wireless Sensor Networks”, IEEE Access, 12, 30146-30163. https://doi.org/10.1109/ACCESS.2024.3366651
Nilashi, M., Abumalloh, R. A., Ahmadi, H., Samad, S., Alrizq, M., Abosaq, Hamad Ali, & Alghamdi, A. (2023). The nexus between quality of customer relationship management systems and customers’ satisfaction: Evidence from online customers’ reviews. Heliyon, 9(11). https://doi.org/10.1016/j.heliyon.2023.e21828
Singh, A., Mushtaq, Z., Abosaq, Hamad Ali, Mursal, S. N. F., Irfan, M., & Nowakowski, G. (2023). ”Enhancing Ransomware Attack Detection Using
Transfer Learning and Deep Learning Ensemble Models on Cloud-Encrypted Data”, Electronics, 12(18), 3899 https://doi.org/10.3390/electronics12183899
Awaji, Bakri, Ebrahim Mohammed Senan, Fekry Olayah, Eman A. Alshari, Mohammad Alsulami, Hamad Ali Abosaq, Jarallah Alqahtani, and Prachi Janrao. ”Hybrid Techniques of Facial Feature Image Analysis for Early Detection of Autism Spectrum Disorder Based on Combined CNN Features.” Diagnostics 13, no. 18 (2023): 2948.https://doi.org/10.3390/diagnostics13182948
Wu, Banghua, Xuebin Lv, Abdullah Alghamdi, Hamad Abosaq, and Mesfer Alrizq. ”Advancement of management information system for discovering fraud in master card based intelligent supervised machine learning and deep learning during SARS-CoV2.” Information Processing & Management 60, no. 2 (2023): 103231. https://doi.org/10.1016/j.ipm.2022.103231
Nilashi, Mehrbakhsh, Rabab Ali Abumalloh, Salma Yasmin Mohd Yusuf, HaHang Thi, Mohammad Alsulami, Hamad Abosaq, Sultan Alyami, and Abdullah Alghamdi. ”Early diagnosis of Parkinson’s disease: A combined method using deep learning and neuro-fuzzy techniques.” Computational biology and chemistry 102 (2023): 107788. https://doi.org/10.1016/j.compbiolchem.2022.107788Arslan Iftikhar, M. A. Elmagzoub, Ansar Munir, Hamad Abosaq Al Salem, Mahmood ul Hassan, Jarallah Alqahtani, Asadullah Shaikh, ”Efficient energy and delay reduction model for wireless sensor networks,” Computer Systems Science and Engineering, vol. 46, no.1, pp. 1153–1168, 2023. http://dx.doi.org/10.32604/csse.2023.030802
Abosaq, Hamad Ali, Muhammad Ramzan, Faisal Althobiani, Adnan Abid, Khalid Mahmood Aamir, Hesham Abdushkour, Muhammad Irfan et al. ”Unusual Driver Behavior Detection in Videos Using Deep Learning Models.” Sensors 23, no. 1 (2023): 311. https://doi.org/10.3390/s23010311
Nilashi, Mehrbakhsh, Abumalloh, Rabab Ali, Samad, Sarminah, Alrizq, Mesfer, Alyami, Sultan, Abosaq, Hamad, Alghamdi, Abdullah, Akib, Noor Adelyna Mohammed, ”Factors impactin customer purchase intention of smart home security systems: Social data analysis using machine learning techniques”, Elsevier Technology in Society, Volume 71, 2022, 102118, ISSN 0160-791X. https://doi.org/10.1016/j.techsoc.2022.102118
Alqhatani, Abdulmajeed, Muhammad Shoaib Ashraf, Javed Ferzund, Ahmad Shaf, Hamad Ali Abosaq, Saifur Rahman, Muhammad Irfan, and Samar M. Alqhtani. ”360° Retail Business Analytics by Adopting Hybrid Machine Learning and a Business Intelligence Approach.” Sustainability 14, no. 19 (2022): 11942. https://doi.org/10.3390/su141911942
Noman, Hira, Naeem Ahmed Mahoto, Sania Bhatti, Hamad Ali Abosaq, Mana Saleh Al Reshan, and Asadullah Shaikh. ”An Exploratory Study of Software Sustainability at Early Stages of Software Development.” Sustainability 14, no. 14 (2022): 8596. https://doi.org/10.3390/su14148596
Zardari, Shehnila, Sana Alam, Hamad Abosaq Al Salem, Mana Saleh Al Reshan, Asadullah Shaikh, Aneeq Fayyaz Karim Malik, Muhammad Masood ur Rehman, and Haralambos Mouratidis. ”A Comprehensive Bibliometric Assessment on Software Testing (2016–2021).” Electronics 11, no. 13 (2022): 1984.https://doi.org/10.3390/electronics11131984
Published Papers in Conferences
- Abosaq, Hamad A., and Basel A. Dabwan. "Deep Learning-based Classification for Gesture Detection using Xception Model." In 2024 Second International Conference on Microwave, Antenna and Communication (MAC), pp. 1-6. IEEE, 2024. https://doi.org/10.1109/MAC61551.2024.10837394Dabwan, B. A., Jadhav, M. E., Abosaq, Hamad Ali, Olayah, F. A., Al Yami, M., & Abdelrahman, Y. A. (2023, November), ”Real-time System for Translating American Sign Language to Text Using Robust Techniques”, In 2023 International Conference on Recent Advances in Science and Engineering Technology (ICRASET) (pp. 1-6). IEEE https://doi.org/10.1109/ICRASET59632.2023.10420110
المقررات التدريسية
456CSS-3 Parallel and Distributed Systems
465CIS-3 Distributed Information Systems
101HAL-3 Introduction in Computers
235CSS-3 Theory of Computation
361CSS-3 Artificial Intelligence
491CSS-4 Graduation Project 1
الساعات المكتبية
الوصف
8-9 | 9-10 | 10-11 | 11-12 | 12-1 | 1-2 | |
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الأحد Sunday |
OH (159C) |
TH: 456CSS |
OH (159C) |
OH (159C) |
MH | MH |
الاثنين Monday |
OH (159C) |
OH (159C) |
TH: 101HAL |
TH: 465CIS |
RH | MH |
الثلاثاء Tuesday |
OH (159C) |
TH: 456CSS |
OH (159C) |
RH | MH | MH |
الأربعاء Wednesday |
OH (159C) |
OH (159C) |
TH: 101HAL |
TH: 465CIS |
MH | MH |
الخميس Thursday |
OH (159C) |
OH (159C) |
OH (159C) |
RH | MH | MH |